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Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State

Sanei, Saeid and Took, Clive Cheong and Jarchi, Delaram and Prochazka, Ales (2020) Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020-05-04 - 2020-05-08.

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Abstract

Bursts of sleep spindles and paroxysmal fast brain activity waveforms have frequency overlap whilst generally, paroxysmal waveforms have shorter duration than spindles. Both resemble bursts of normal alpha activity during short rests while awake with closed eyes. In this paper, it is shown that for a proposed cooperative adaptive line enhancer, which can both detect and separate such periodic bursts, the combination weights are consistently different from each other. The outcome suggests that for accurate modelling of the brain neuro-generators, the brain connectivity has to be precisely estimated and plugged into the adaptation process.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 16 Aug 2020 20:44
Last Modified: 16 Aug 2020 20:44
URI: http://repository.essex.ac.uk/id/eprint/28490

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